Bibliographic record
Abstract
QUESTION: What are the clinical outcomes of early versus delayed laparoscopic cholecystectomy (LC) in acute cholecystitis with more than 72 hours of symptoms? DESIGN: A randomized controlled trial. SETTING: Single center at the University Hospital of Lausanne, Switzerland. PATIENTS: Eighty-six patients were enrolled in the study that had symptoms of acute cholecystitis lasting more than 72 hours before admission. INTERVENTION: Patients were randomly assigned to early LC or delayed LC. MAIN OUTCOME: Primary outcome was overall morbidity following initial diagnosis. Secondary outcomes included total length of stay, duration of antibiotic used, cost, and surgical outcome. RESULTS: Overall morbidity was lower in early laparoscopic cholecystectomy (ELC) [6 (14%) vs 17 (39%) patients, P = 0.015]. Median total length of stay (4 vs 7 days, P < 0.001) and duration of antibiotic therapy (2 vs 10 days, P < 0.001) were shorter in the ELC group. Total hospital costs were lower in ELC (9349&OV0556; vs 12,361&OV0556;, P = 0.018). Operative time and postoperative complications were similar (91 vs 88 minutes; P = 0.910) and (15% vs 17%; P = 1.000), respectively. CONCLUSIONS: ELC for acute cholecystitis even beyond 72 hours of symptoms is safe and associated with less overall morbidity, shorter total hospital stay, and duration of antibiotic therapy, as well as reduced cost compared with delayed cholecystectomy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.127 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.012 | 0.006 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.044 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".